Senior​/Software Engineer — Collision Avoidance Systems

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints.

Overall CAS is parallel and complementary to our Main AI autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.

Responsibilities

• You will write algorithms to process raw sensor data, track dynamic agents, and predict the future state for agents
• You will apply distributed compute algorithms to efficiently analyze petabytes of urban driving data
• You will develop metrics and tools for analyzing errors and understanding improvements in our systems
• You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time
• You will engineer software that is fault-tolerant and conforms to automotive safety standards
• You will collaborate with engineers on the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments

Qualifications

• BS, MS, or PhD degree in computer science or related field
• Fluency in C++
• Extensive experience with programming and algorithm design
• 8+ years of experience in a related field

Bonus Qualifications

• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
• Experience with latency of analysis and optimization of safety critical software systems
• Experience with petabyte-scale distributed computing (Spark, Databricks, generic Map Reduce pipelines)
• CUDA programming experience
• Prior experience with Prediction and/or autonomous vehicles in general
• Strong mathematics skills

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 - $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.